Grum, M.Bender, B.Alfa, Attahiru SuleGronau, N.2018-08-162018-08Grum, M., Bender, B., Alfa, A.S. et al. 2018, 'A decision maxim for efficient task realization within analytical network infrastructures', Decision Support Systems, vol. 112, pp. 48-59.0167-9236 (print)1873-5797 (online)10.1016/j.dss.2018.06.005http://hdl.handle.net/2263/66177Faced with the increasing needs of companies, optimal dimensioning of IT hardware is becoming challenging for decision makers. In terms of analytical infrastructures, a highly evolutionary environment causes volatile, time-dependent workloads in its components, and intelligent, flexible task distribution between local systems and cloud services is attractive. With the aim of developing a flexible and efficient design for analytical infrastructures, this paper proposes a flexible architecture model, which allocates tasks following a machine-specific decision heuristic. A simulation benchmarks this system with existing strategies and identifies the new decision maxim as superior in a first scenario-based simulation.en© 2018 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Decision Support Systems. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Decision Support Systems, vol. 112 , pp. 48-59, 2018. doi : 10.1016/j.dss.2018.06.005.AnalyticsArchitecture conceptsCyber-physical systemsInternet of Things (IoT)Task realization strategiesSimulationSimulation benchmarkScenario-based simulationsNetwork infrastructureFlexible architecturesEfficient designsEmbedded systemsDecision makingNetwork architecturePostprint Article